Delete dataset_infos.json
Browse files- dataset_infos.json +0 -185
dataset_infos.json
DELETED
@@ -1,185 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"conll2003": {
|
3 |
-
"description": "The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on\nfour types of named entities: persons, locations, organizations and names of miscellaneous entities that do\nnot belong to the previous three groups.\n\nThe CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on\na separate line and there is an empty line after each sentence. The first item on each line is a word, the second\na part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags\nand the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only\nif two phrases of the same type immediately follow each other, the first word of the second phrase will have tag\nB-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2\ntagging scheme, whereas the original dataset uses IOB1.\n\nFor more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419\n",
|
4 |
-
"citation": "@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,\n title = \"Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition\",\n author = \"Tjong Kim Sang, Erik F. and\n De Meulder, Fien\",\n booktitle = \"Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003\",\n year = \"2003\",\n url = \"https://www.aclweb.org/anthology/W03-0419\",\n pages = \"142--147\",\n}\n",
|
5 |
-
"homepage": "https://www.aclweb.org/anthology/W03-0419/",
|
6 |
-
"license": "",
|
7 |
-
"features": {
|
8 |
-
"id": {
|
9 |
-
"dtype": "string",
|
10 |
-
"id": null,
|
11 |
-
"_type": "Value"
|
12 |
-
},
|
13 |
-
"tokens": {
|
14 |
-
"feature": {
|
15 |
-
"dtype": "string",
|
16 |
-
"id": null,
|
17 |
-
"_type": "Value"
|
18 |
-
},
|
19 |
-
"length": -1,
|
20 |
-
"id": null,
|
21 |
-
"_type": "Sequence"
|
22 |
-
},
|
23 |
-
"pos_tags": {
|
24 |
-
"feature": {
|
25 |
-
"num_classes": 47,
|
26 |
-
"names": [
|
27 |
-
"\"",
|
28 |
-
"''",
|
29 |
-
"#",
|
30 |
-
"$",
|
31 |
-
"(",
|
32 |
-
")",
|
33 |
-
",",
|
34 |
-
".",
|
35 |
-
":",
|
36 |
-
"``",
|
37 |
-
"CC",
|
38 |
-
"CD",
|
39 |
-
"DT",
|
40 |
-
"EX",
|
41 |
-
"FW",
|
42 |
-
"IN",
|
43 |
-
"JJ",
|
44 |
-
"JJR",
|
45 |
-
"JJS",
|
46 |
-
"LS",
|
47 |
-
"MD",
|
48 |
-
"NN",
|
49 |
-
"NNP",
|
50 |
-
"NNPS",
|
51 |
-
"NNS",
|
52 |
-
"NN|SYM",
|
53 |
-
"PDT",
|
54 |
-
"POS",
|
55 |
-
"PRP",
|
56 |
-
"PRP$",
|
57 |
-
"RB",
|
58 |
-
"RBR",
|
59 |
-
"RBS",
|
60 |
-
"RP",
|
61 |
-
"SYM",
|
62 |
-
"TO",
|
63 |
-
"UH",
|
64 |
-
"VB",
|
65 |
-
"VBD",
|
66 |
-
"VBG",
|
67 |
-
"VBN",
|
68 |
-
"VBP",
|
69 |
-
"VBZ",
|
70 |
-
"WDT",
|
71 |
-
"WP",
|
72 |
-
"WP$",
|
73 |
-
"WRB"
|
74 |
-
],
|
75 |
-
"names_file": null,
|
76 |
-
"id": null,
|
77 |
-
"_type": "ClassLabel"
|
78 |
-
},
|
79 |
-
"length": -1,
|
80 |
-
"id": null,
|
81 |
-
"_type": "Sequence"
|
82 |
-
},
|
83 |
-
"chunk_tags": {
|
84 |
-
"feature": {
|
85 |
-
"num_classes": 23,
|
86 |
-
"names": [
|
87 |
-
"O",
|
88 |
-
"B-ADJP",
|
89 |
-
"I-ADJP",
|
90 |
-
"B-ADVP",
|
91 |
-
"I-ADVP",
|
92 |
-
"B-CONJP",
|
93 |
-
"I-CONJP",
|
94 |
-
"B-INTJ",
|
95 |
-
"I-INTJ",
|
96 |
-
"B-LST",
|
97 |
-
"I-LST",
|
98 |
-
"B-NP",
|
99 |
-
"I-NP",
|
100 |
-
"B-PP",
|
101 |
-
"I-PP",
|
102 |
-
"B-PRT",
|
103 |
-
"I-PRT",
|
104 |
-
"B-SBAR",
|
105 |
-
"I-SBAR",
|
106 |
-
"B-UCP",
|
107 |
-
"I-UCP",
|
108 |
-
"B-VP",
|
109 |
-
"I-VP"
|
110 |
-
],
|
111 |
-
"names_file": null,
|
112 |
-
"id": null,
|
113 |
-
"_type": "ClassLabel"
|
114 |
-
},
|
115 |
-
"length": -1,
|
116 |
-
"id": null,
|
117 |
-
"_type": "Sequence"
|
118 |
-
},
|
119 |
-
"ner_tags": {
|
120 |
-
"feature": {
|
121 |
-
"num_classes": 9,
|
122 |
-
"names": [
|
123 |
-
"O",
|
124 |
-
"B-PER",
|
125 |
-
"I-PER",
|
126 |
-
"B-ORG",
|
127 |
-
"I-ORG",
|
128 |
-
"B-LOC",
|
129 |
-
"I-LOC",
|
130 |
-
"B-MISC",
|
131 |
-
"I-MISC"
|
132 |
-
],
|
133 |
-
"names_file": null,
|
134 |
-
"id": null,
|
135 |
-
"_type": "ClassLabel"
|
136 |
-
},
|
137 |
-
"length": -1,
|
138 |
-
"id": null,
|
139 |
-
"_type": "Sequence"
|
140 |
-
}
|
141 |
-
},
|
142 |
-
"post_processed": null,
|
143 |
-
"supervised_keys": null,
|
144 |
-
"task_templates": null,
|
145 |
-
"builder_name": "conll2003",
|
146 |
-
"config_name": "conll2003",
|
147 |
-
"version": {
|
148 |
-
"version_str": "1.0.0",
|
149 |
-
"description": null,
|
150 |
-
"major": 1,
|
151 |
-
"minor": 0,
|
152 |
-
"patch": 0
|
153 |
-
},
|
154 |
-
"splits": {
|
155 |
-
"train": {
|
156 |
-
"name": "train",
|
157 |
-
"num_bytes": 6931418,
|
158 |
-
"num_examples": 14042,
|
159 |
-
"dataset_name": "conll2003"
|
160 |
-
},
|
161 |
-
"validation": {
|
162 |
-
"name": "validation",
|
163 |
-
"num_bytes": 1739271,
|
164 |
-
"num_examples": 3251,
|
165 |
-
"dataset_name": "conll2003"
|
166 |
-
},
|
167 |
-
"test": {
|
168 |
-
"name": "test",
|
169 |
-
"num_bytes": 1582102,
|
170 |
-
"num_examples": 3454,
|
171 |
-
"dataset_name": "conll2003"
|
172 |
-
}
|
173 |
-
},
|
174 |
-
"download_checksums": {
|
175 |
-
"https://data.deepai.org/conll2003.zip": {
|
176 |
-
"num_bytes": 982975,
|
177 |
-
"checksum": "96a104d174ddae7558bab603f19382c5fe02ff1da5c077a7f3ce2ced1578a2c3"
|
178 |
-
}
|
179 |
-
},
|
180 |
-
"download_size": 982975,
|
181 |
-
"post_processing_size": null,
|
182 |
-
"dataset_size": 10252791,
|
183 |
-
"size_in_bytes": 11235766
|
184 |
-
}
|
185 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|